Nature AgingGeneticsPeer-reviewed journal article
Males deploy multifaceted strategies and hijack longevity pathways to induce premature demise of the opposite sex
Lauren N. BoothiD, Cheng ShiiD, Cindy Tantilert, Robin W. YeoiD, Jason Wayne MiklasiD, Katja HebestreitiD, Cecilia N. HollenhorstiD, Travis J. MauresiD, Matthew T. Buckley, Coleen Tara MurphyiD, Anne BrunetiD
Abstract
Interactions between the sexes negatively impact health in many species, including mammals1–9. In mice, sexual interactions induce weight gain and shorten lifespan in females, independent of fertilization6,9. In Caenorhabditis, males shorten the lifespan of the opposite sex (females or hermaphrodites)1–3,8. However, the mechanisms underlying the negative influence of males on lifespan – and their overlap with known longevity pathways – are still largely unknown. Here, we use transcriptomic profiling and targeted screens to systematically uncover new conserved genes involved in male-induced demise. Interestingly, deficiency of these genes individually, and especially in combination, induces strong protection, highlighting the benefit of combining interventions to extend lifespan. Some genes (e.g. acbp-3, col-43) only extend hermaphrodite lifespan when knocked-down in the presence of males, suggesting specific protective mechanisms against male-induced demise. However, we also uncover two previously unknown longevity genes (sri-40 and delm-2) that, when knocked-down, extend hermaphrodite lifespan both with and without males, which points to new broad mechanisms of resistance. In sharp contrast, many classical long-lived mutants are actually short-lived in the presence of males, suggesting that males hijack and suppress known longevity pathways. This systematic analysis reveals striking differences in longevity in single sex versus mixed sex environments and uncovers the elaborate network of functional regulation elicited by sexual interactions, which could extend to other species.Competing Interest StatementThe authors have declared no competing interest.View Full Text
- organism: C. elegans
- assay: DNA methylation
- assay: proteomics
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: variant effect prediction
- research focus: benchmarking
- approach: statistical model
- approach: experimental assay
- Citations
- 30
- FWCI
- 1.84
- Field percentile
- top 13%
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